基于线性约束的有源配电网规划研究
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作者:
通讯作者:

邵华(1976),男,高级工程师,主要从事电力系统规划、通信智能化等方面的研究;Email:hebeishaohua2017@163.com

中图分类号:

TM74

基金项目:

国网河北省电力有限公司科技项目(SGHEJY00GHJS201600109)


Active distribution network planning model based on linearized constraints
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    摘要:

    随着分布式电源的快速发展,配电网运行规模越来越大,运行方式多样化。传统的基于交流的非线性规划模型在计算分析方面存在许多不足。为此,提出一种基于线性约束的有源配电网规划模型。首先从潮流线性化和配电网连通性线性化2个方面提出配电网模型线性化的基本原理和分析方法。通过分析配电网规划目标函数和约束条件,提出配电网混合整数线性规划(MILP)模型,该模型可以通过一般的数学优化工具包进行求解。最后进行了多场景算例分析,将配电网线性化规划模型和非线性规划模型进行对比,验证了该方法的可行性和高效性,为今后配电网主动规划和主动运行一体化研究提供了新的方法。

    Abstract:

    With the rapid development of the distributed resources, the operation mode of power distribution network is becoming more and more diversified. The traditional nonlinear ACbased programming model has many lacks in the aspect of calculation. With the rapid development of the distributed resources, the operation mode of power distribution network is becoming more and more diversified. The traditional nonlinear ACbased programming model is lack in the aspect of calculation. In view of this, this paper presents an active power distribution network planning model based on linearized constraints. Firstly, the basic principle and analysis method of distribution network model linearization are presented from two aspects, the power flow linearization and the distribution network connectivity linearization. By analyzing the objective function and constraint conditions of distribution network planning, a mixed integer linear rule (MILP) model is further proposed, which can be solved by a general mathematical optimization toolkit. Finally, simulations under different conditions are carried out and the linearization planning model of distribution network are compared with the nonlinear programming model. It is shown that the proposed method is feasible and effective and a new method is provided for the future planning and operation research of the active distribution network.

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邵华,贺春光,安佳坤,等.基于线性约束的有源配电网规划研究[J].电力科学与技术学报,2020,35(5):66-74.
SHAO Hua, HE Chunguang, AN Jiakun, et al. Active distribution network planning model based on linearized constraints[J]. Journal of Electric Power Science and Technology,2020,35(5):66-74.

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  • 在线发布日期: 2021-04-16
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